Senior Site Reliability Engineer

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Design and Implement Observability Solutions: Develop comprehensive monitoring and alerting systems using modern observability tools. Create dashboards and metrics that provide real-time visibility into system health and performance. Implement logging strategies that enable quick problem identification and resolution.
Drive Automation and Infrastructure as Code: Architect and implement infrastructure automation solutions using tools like Terraform, Ansible, or Pulumi. Design and maintain CI/CD pipelines that enable reliable and consistent deployments. Create self-healing systems that can automatically respond to common failure scenarios.
Establish SLOs and SLIs: Work with product and engineering teams to define and implement Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to track and report on these metrics, ensuring we maintain high reliability standards while balancing innovation speed.
Incident Management and Response: Lead incident response efforts, conducting thorough post-mortems, and implementing improvements to prevent future occurrences. Develop and maintain runbooks for critical services. Build tools and processes that reduce Mean Time To Recovery (MTTR).
Performance Optimization: Identify and resolve performance bottlenecks across our infrastructure. Implement capacity planning strategies and optimize resource utilization. Work on reducing latency and improving system efficiency across global regions.

4-8 years of experience in Site Reliability Engineering or similar roles (DevOps, Systems Engineering, Infrastructure Engineering)
Strong programming skills in languages commonly used for automation (Python, Go, or similar)
Deep understanding of distributed systems
Experience with container orchestration platforms (Kubernetes) and cloud-native technologies
Proven track record of implementing and maintaining monitoring/observability solutions
Strong incident management skills with experience leading incident response
Experience with infrastructure as code and configuration management tools

Experience with Google Cloud Platform (GCP) services and tools
Knowledge of modern observability platforms (Prometheus, Grafana, Datadog, etc.)

Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
Continuous learning: Passion for staying current with industry best practices and new technologies
Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems